Brian Croxall provides an informative and realistic look at what digital approaches to humanities can and cannot do.
Data need interpretation Data don’t have to be big. Data aren’t always the answer
People new to text mining are often disillusioned when they figure out how it’s actually done — which is still, in large part, by counting words. They’re willing to believe that computers have developed some clever strategy for finding patterns in language — but think “surely it’s something better than that?“
Our goalThe DH Community is a program of Wake Forest's Humanities Institute. We are faculty from across campus interested in investigating the emergence of digital humanities as a field of study, and its relevance and usefulness as a research and teaching tool in the humanities.
Join the conversation!
Use your Wake Forest username and password to login and contribute to DH Talk.
Tag CloudAda Lovelace advocacy Alan Turing Artificial Intelligence big data careers crowdsourcing culturomics database design digital collections digital curation digital pedagogy digital scholarship digitization distant reading history humanities data curation internet italy language liberal arts libraries manuscripts mapping methods multimodal omega organization peer review quantitative analysis resource resources sentiment analysis southern history spatial analysis statistics teaching textual analysis THATCamp timelines transcription Turing Test undergraduate education venice word frequency